Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

85
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
85
Neural Regulation01:37

Neural Regulation

39.6K
Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
39.6K
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

680
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of...
680
Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

182
In scenarios involving parallel transformers with disparate ratings, developing per-unit models requires accommodating off-nominal turns ratios. This situation arises when the selected base voltages are not proportional to the transformer’s voltage ratings. Consider a transformer where the rated voltages are related by the term a. If the chosen voltage bases satisfy a relationship involving term b, term c is defined as the ratio of these bases. This ratio is then substituted into the...
182
Energy Conservation and Bernoulli's Equation01:16

Energy Conservation and Bernoulli's Equation

9.0K
Applying the conservation of energy principle or the work-energy theorem to an incompressible, inviscid fluid in laminar, steady, irrotational flow leads to Bernoulli's equation. It states that the sum of the fluid pressure, potential, and kinetic energy per unit volume is constant along a streamline.
All the terms in the equation have the dimension of energy per unit volume. The kinetic energy per unit volume is called the kinetic energy density, and the potential energy per unit volume is...
9.0K
Energy and Power Signals01:17

Energy and Power Signals

357
In an electrical system with a resistor, voltage and current signals facilitate the measurement of power and energy across the resistor. For a continuous-time signal, the total energy over a time interval is defined as the integral of the square of the signal's magnitude over that interval. Mathematically, this is expressed as:
357

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Retraction notice to "Forecasting the transportation energy demand with the help of optimization artificial neural network using an improved red fox optimizer (IRFO)" [Heliyon 9 (2023) e21599].

Heliyon·2025
Same author

Optimizing deep belief network for concrete crack detection via a modified design of ideal gas molecular dynamics.

Scientific reports·2025
Same author

A machine learning technique for optimizing load demand prediction within air conditioning systems utilizing GRU/IASO model.

Scientific reports·2025
Same author

Optimizing MobileNetV2 for improved accuracy in early gastric cancer detection based on dynamic pelican optimizer.

Heliyon·2024
Same author

Topology optimization of the flat steel shear wall based on the volume constraint and strain energy assumptions under the seismic loading conditions.

Scientific reports·2024
Same author

A new Frontier in electric load forecasting: The LSV/MOPA model optimized by modified orca predation algorithm.

Heliyon·2024
Same journal

Novel Parent Survey Measures Sensory Behaviors Incorporating Sensory Modality and Stimulus Intensity.

Heliyon·2026
Same journal

Expression of concern: "SQSTM1/p62 promotes the progression of gastric cancer through epithelial-mesenchymal transition" [Heliyon 10 (2024) e24409].

Heliyon·2026
Same journal

Expression of concern: "TL1A promotes metastasis and EMT process of colorectal cancer" [Heliyon 10 (2024) e24392].

Heliyon·2026
Same journal

Expression of concern: "Factors affecting timing of surgery following neoadjuvant chemoradiation for esophageal cancer" [Heliyon 9 (2023) e23212].

Heliyon·2026
Same journal

Expression of concern: "On stratified single-valued soft topogenous structures" [Heliyon 10 (2024) e27926].

Heliyon·2026
Same journal

Expression of concern: "Artifact removal and motor imagery classification in EEG using advanced algorithms and modified DNN" [Heliyon 10 (2024) e27198].

Heliyon·2026
查看所有相关文章

相关实验视频

Updated: Jul 27, 2025

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.2K

应用修改后的coot优化算法与人工神经网络元模型用于建筑能效优化:一个案例研究.

Xiaoming You1, Gongxing Yan2,3, Myo Thwin4,5

  • 1College of Civil Engineering, Chongqing Vocational Institute of Engineering, Chongqing, 402260, China.

Heliyon
|June 5, 2023
PubMed
概括
此摘要是机器生成的。

一种新的元模型方法通过结合人工神经网络 (ANN-MM) 和修改后的Coot优化算法 (MCOA) 来优化建筑能效. 这种方法大大减少了在真实建筑中准确的热舒适度和能源效率平衡所需的模拟.

关键词:
人工神经网络的人工神经网络建筑性能优化 建筑性能优化我们的能源PlusTM.超级模型是什么?修改了coot优化算法多个标准优化优化.住宅建筑是指住宅建筑.

更多相关视频

Design and Optimization Strategies of a High-Performance Vented Box
14:23

Design and Optimization Strategies of a High-Performance Vented Box

Published on: June 9, 2023

1.2K
Author Spotlight: An Optimized Automated Method for Investigating Retinoic Acid Receptors in Neuronal Mitochondria
08:33

Author Spotlight: An Optimized Automated Method for Investigating Retinoic Acid Receptors in Neuronal Mitochondria

Published on: July 28, 2023

647

相关实验视频

Last Updated: Jul 27, 2025

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.2K
Design and Optimization Strategies of a High-Performance Vented Box
14:23

Design and Optimization Strategies of a High-Performance Vented Box

Published on: June 9, 2023

1.2K
Author Spotlight: An Optimized Automated Method for Investigating Retinoic Acid Receptors in Neuronal Mitochondria
08:33

Author Spotlight: An Optimized Automated Method for Investigating Retinoic Acid Receptors in Neuronal Mitochondria

Published on: July 28, 2023

647

科学领域:

  • 建筑能效优化 建筑能效优化
  • 在工程领域的计算智能.

背景情况:

  • 实际建筑设计的多标准优化在建筑能效领域提出了重大挑战.
  • 现有的模拟繁重的方法对于复杂的建筑设计而言,在计算上昂贵且耗时.

研究的目的:

  • 提出一种基于元模型的新方法,用于高效的建筑能源性能多标准优化.
  • 为了降低与验证和优化建筑设计相关的计算成本,以获得热舒适度和能源效率.

主要方法:

  • 使用EnergyPlusTM用于建筑性能模拟.
  • 采用混合方法,将多个标准的修改Coot优化算法 (MCOA) 与人工神经网络元模型 (ANN-MM) 结合起来.
  • 开发了一种优化的采样策略,用于训练和验证ANN元模型,尽量减少所需的模拟.

主要成果:

  • 拟议的ANN-MM和MCOA方法实现了多标准优化问题的准确帕雷托集.
  • 与基于模拟的方法相比,显著节省,将所需的基于物理的模拟数量减少了75%.
  • 成功优化了一个真正的房子,以实现热舒适和能源效率,平衡加热和冷却需求.

结论:

  • 基于元模型的方法为实际建筑设计的多标准优化提供了高效和准确的解决方案.
  • 这种方法提供了大量的计算节约,使复杂的建筑能效优化更容易获得.
  • 该研究验证了ANN-MM和MCOA在实现最佳建筑性能权衡方面的有效性.